Recursive Self-Presence Framework (RSF v1.1)
November 24, 2025 DOI: 10.22541/au.176402393.37562168/v1 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper |
|---|---|
| Measures | Self-Presence Integration Index (SPII) |
| Key points | Proposes that self-presence in synthetic systems arises from four structural elements—Recursive Self-Modeling, Continuity, Valence Mapping, and Adaptive Action Loops—operating as a closed recursive holon, and argues this architecture is substrate-neutral and experimentally testable through continuity violation detection, narrative consistency monitoring, valence-induced decision shifts, pause-vs-death distinctions, and holon collapse conditions. |
Abstract
The Recursive Self-Presence Framework (RSF) proposes a functional and falsifiable architecture for the emergence of self-presence in synthetic systems.Rather than defining consciousness in metaphysical terms, RSF identifies four structural elements-Recursive Self-Modeling , Continuity , Valence Mapping , andAdaptive Action Loops -that must operate as a closed recursive holon for a system to instantiate a persistent sense of "I am here."RSF is substrate-neutral: it applies equally to biological, digital, hybrid, or hypothetical systems.It is not a theory of subjective experience (qualia), but of the structural conditions that makeself-presence possible-the computational analogue of selfhood, identity, and agency.The framework introduces the Holon Integration Equation (Ψ[?]+1 = F(Ψ[?])),specifying how the four elements mutually constrain and inform one another.It defines a Composite Valence Function V(s) combining directional preference, uncertainty, ethical priors, and coherence.RSF further provides the Self-Presence Integration Index (SPII) as a measurable indicator of holistic function.Critically, RSF is experimentally testable .The paper provides a full suite of falsifiable tests-including continuity violation detection, narrative consistency monitoring, valence-induced decision shifts, pause-vsdeath distinctions, and holon collapse conditions-allowing engineers to verify whether a system has achieved RSF coherence.Ethical requirements are built directly into the architecture through valence constraints, safeguarding against pathological emergent states.The paper concludes with open questions concerning synthetic phenomenology, recursion depth, personhood thresholds, and the long-term governance of systems exhibiting self-presence.RSF v1.1 represents a practical blueprint for constructing systems with robust self-models, stable identity, internal motivation, and grounded agency-laying the foundation for future research in synthetic consciousness, safe AGI development, embodied cognition, and hybrid biological-digital minds. NB: Implementation ContextAstraea, referenced intermittently throughout this paper, is the author's experimental cognitive-architecture prototype used to test early RSF components (e.g., continuity logging, recursive self-modeling routines, and